LAUSR

In this article, a recently developed metaheuristic named modified simulated annealing algorithm (MSAA) is proposed for size and shape optimization of truss structures with frequency constraints. These kinds of problems represent nonlinear and non-convex search spaces with several local optima and are well-known as challenging optimization problem. MSAA is a newly improved version of the simulated annealing (SA) algorithm with three modifications: preliminary exploration, search step and a new probability of acceptance. Six benchmark truss optimization problems with frequency constraints are explored for the validity of the present algorithm. Numerical results indicate that MSAA is more reliable, stable and efficient than those found by other state-of-the-art metaheuristics optimization methods.